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🔀 Cross-Validation
K-Fold, Model Selection, Overfitting Prevention, Train-Test Split
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121394
posts in
1.15
s
LLM-FS
: Zero-Shot Feature Selection for Effective and
Interpretable
Malware Detection
arxiv.org
·
1d
🤖
Scikit-learn
On the
Convergence
of
Multicalibration
Gradient Boosting
arxiv.org
·
3d
📈
ROC Curves
Deep transfer learning based on cross-domain
subsequence
alignment and feature contribution
interpretation
for remaining useful life prediction
sciencedirect.com
·
1d
🤖
Scikit-learn
Building Hybrid Search for RAG: Combining
pgvector
and Full-Text Search with
Reciprocal
Rank Fusion
dev.to
·
5h
·
Discuss:
DEV
🤖
Scikit-learn
AI Face
Searches
trendhunter.com
·
1d
📊
profiling
An uncertainty aware transformer framework for wind power
forecasting
with
multiscale
attention and adaptive feature fusion
chipublib.idm.oclc.org
·
1d
📈
forecasting
A data-efficient foundation model for
porous
materials based on expert-guided
supervised
learning
nature.com
·
20h
📈
ROC Curves
Show HN:
OCR
Arena – A
playground
for
OCR
models
news.ycombinator.com
·
17h
·
Discuss:
Hacker News
📈
ROC Curves
R2
: Final
Validation
stories.rivian.com
·
2d
·
Discuss:
Hacker News
🎲
Property-Based Testing
Carnegie
Mellon at
NeurIPS
2025
blog.ml.cmu.edu
·
16h
💾
information theory
Show HN: A
header-only
C++ benchmark for predictive models on raw
binary
streams
github.com
·
1h
·
Discuss:
Hacker News
🔮
Branch Prediction
7 Python
EDA
Tricks
to Find and Fix Data Issues
kdnuggets.com
·
2d
🤖
Scikit-learn
Learning Optimization Tools
trendhunter.com
·
2d
🤖
Scikit-learn
Compare
up to 5 LLMs side-by-side, then
fuse
the best answers
llmcode.ai
·
1d
·
Discuss:
Hacker News
🎲
Property-Based Testing
Palantir: N Of 1,
Industrializing
Autonomy Via
Zero-Marginal-Cost
AI Integration
seekingalpha.com
·
17h
🌪️
Chaos Engineering
Image
Classification
with
Convolutional
Neural Networks – Part 2: Creating a Feature Map
dev.to
·
1d
·
Discuss:
DEV
🤖
Scikit-learn
When the Matrix Breaks: Failure
Modes
of Early
Matching
Systems
linkedin.com
·
18h
·
Discuss:
DEV
🌪️
Chaos Engineering
ZKBoost
: Zero-Knowledge Verifiable Training for
XGBoost
eprint.iacr.org
·
3d
🤖
Scikit-learn
Wavelet
Meets Adam:
Compressing
Gradients for Memory-Efficient Training
chipublib.idm.oclc.org
·
17h
🤖
Scikit-learn
A History of Large Language Models
gregorygundersen.com
·
9h
🔗
Parser Combinators
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